Dimension Optimization of Microstrip Patch Antenna in X/Ku Band via Artificial Neural Network

dc.contributor.authorOzkaya, Umut
dc.contributor.authorSeyfi, Levent
dc.date.accessioned2020-03-26T19:01:53Z
dc.date.available2020-03-26T19:01:53Z
dc.date.issued2015
dc.departmentSelçuk Üniversitesien_US
dc.descriptionWorld Conference on Technology, Innovation and Entrepreneurship -- MAY 28-30, 2015 -- Istanbul, TURKEYen_US
dc.description.abstractThis paper is aimed at designing the effective shape of a microstrip patch antenna for X Band (8 to 12 GHz) and Ku Band (12 GHz to 18 GHz). Artificial Neural Network is used for optimizing microstrip antenna dimensions. The Network takes the different microstrip antenna parameters as inputs and delivers its dimensions in the X/Ku Band satellite communication. The error and validity analysis of neural network results are carried out in Matlab. Finally, HFSS simulation software results for prototype microstrip antenna, which has the best antenna parameters, is compared with real value. (C) 2015 The Authors. Published by Elsevier Ltd.en_US
dc.identifier.doi10.1016/j.sbspro.2015.06.434en_US
dc.identifier.endpage2526en_US
dc.identifier.startpage2520en_US
dc.identifier.urihttps://dx.doi.org/10.1016/j.sbspro.2015.06.434
dc.identifier.urihttps://hdl.handle.net/20.500.12395/32010
dc.identifier.wosWOS:000380509900306en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isoenen_US
dc.publisherELSEVIER SCIENCE BVen_US
dc.relation.ispartofWORLD CONFERENCE ON TECHNOLOGY, INNOVATION AND ENTREPRENEURSHIPen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectMicrostrip Antennaen_US
dc.subjectArtifical Neural Networksen_US
dc.subjectX/Ku Banden_US
dc.subjectOptimizationen_US
dc.titleDimension Optimization of Microstrip Patch Antenna in X/Ku Band via Artificial Neural Networken_US
dc.typeConference Objecten_US

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